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      KCI등재 SCIE SCOPUS

      ROBUST ESTIMATION OF MAXIMUM TIRE-ROAD FRICTION COEFFICIENT CONSIDERING ROAD SURFACE IRREGULARITY

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      https://www.riss.kr/link?id=A103670537

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      An accurate estimation of the maximum tire-road friction coefficient may provide higher performance in a vehicle active safety control system. Unfortunately, real-time tire-road friction coefficient estimation is costly and necessitates additional sensors that must be installed and maintained at all times. This paper proposes an advanced longitudinal tire-road friction coefficient estimation method that is capable of considering irregular road surfaces. The proposed algorithm uses a stiffness based estimation method, however, unlike previous studies, improvements were made by suggesting a third order model to solve problems related to nonlinear mu-slip curve. To attain the tire-road friction coefficient, real-time normalized force is obtained from the force estimator as exerted from the tire in the low slip region using the recursive least squares method. The decisive aspect of using the suggested algorithm lies in its low cost and versatility. It can be used under irregular road conditions due to its capability of easily obtaining wheel speed and acceleration values from production cars. The newly improved algorithm has been verified to computer simulations as well as compact size cars on dry asphalt conditions.
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      An accurate estimation of the maximum tire-road friction coefficient may provide higher performance in a vehicle active safety control system. Unfortunately, real-time tire-road friction coefficient estimation is costly and necessitates additional sen...

      An accurate estimation of the maximum tire-road friction coefficient may provide higher performance in a vehicle active safety control system. Unfortunately, real-time tire-road friction coefficient estimation is costly and necessitates additional sensors that must be installed and maintained at all times. This paper proposes an advanced longitudinal tire-road friction coefficient estimation method that is capable of considering irregular road surfaces. The proposed algorithm uses a stiffness based estimation method, however, unlike previous studies, improvements were made by suggesting a third order model to solve problems related to nonlinear mu-slip curve. To attain the tire-road friction coefficient, real-time normalized force is obtained from the force estimator as exerted from the tire in the low slip region using the recursive least squares method. The decisive aspect of using the suggested algorithm lies in its low cost and versatility. It can be used under irregular road conditions due to its capability of easily obtaining wheel speed and acceleration values from production cars. The newly improved algorithm has been verified to computer simulations as well as compact size cars on dry asphalt conditions.

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      참고문헌 (Reference)

      1 Oh, J. J., "Vehicle velocity observer design using 6-d imu and multiple-observer approach" 13 (13): 1865-1879, 2012

      2 Rajamani, R., "Vehicle Dynamics and Control" Springer Science & Business Media 2011

      3 Chen, W., "Unknown input observer design for a class of nonlinear systems: An LMI approach" 2006

      4 Yoon, J., "Unified chassis control for rollover prevention and lateral stability" 58 (58): 596-609, 2009

      5 Hori, Y., "Traction control of electric vehicle: Basic experimental results using the test EV “UOT electric march”" 34 (34): 1131-1138, 1998

      6 Pacejka, H., "Tire and Vehicle Dynamics" Elsevier 2005

      7 Sato, Y., "Study on recognition method for road friction condition" 38 : 51-56, 2007

      8 Gustafsson, F., "Slip-based tire-road friction estimation" 33 (33): 1087-1099, 1997

      9 Nam, K., "Robust yaw stability control for electric vehicles based on active steering control" 1-5, 2010

      10 Ahn, C., "Robust estimation of road frictional coefficient" 21 (21): 1-13, 2013

      1 Oh, J. J., "Vehicle velocity observer design using 6-d imu and multiple-observer approach" 13 (13): 1865-1879, 2012

      2 Rajamani, R., "Vehicle Dynamics and Control" Springer Science & Business Media 2011

      3 Chen, W., "Unknown input observer design for a class of nonlinear systems: An LMI approach" 2006

      4 Yoon, J., "Unified chassis control for rollover prevention and lateral stability" 58 (58): 596-609, 2009

      5 Hori, Y., "Traction control of electric vehicle: Basic experimental results using the test EV “UOT electric march”" 34 (34): 1131-1138, 1998

      6 Pacejka, H., "Tire and Vehicle Dynamics" Elsevier 2005

      7 Sato, Y., "Study on recognition method for road friction condition" 38 : 51-56, 2007

      8 Gustafsson, F., "Slip-based tire-road friction estimation" 33 (33): 1087-1099, 1997

      9 Nam, K., "Robust yaw stability control for electric vehicles based on active steering control" 1-5, 2010

      10 Ahn, C., "Robust estimation of road frictional coefficient" 21 (21): 1-13, 2013

      11 Lee, C., "Real-time slipbased estimation of maximum tire-road friction coefficient" 9 (9): 454-458, 2004

      12 Holzmann, F., "Predictive estimation of the road-tire friction coefficient" 885-890, 2006

      13 Ray, L. R., "Nonlinear tire force estimation and road friction identification: simulation and experiments" 33 (33): 1819-1833, 1997

      14 You, S.-H., "New adaptive approaches to real-time estimation of vehicle sideslip angle" 17 (17): 1367-1379, 2009

      15 Gustafsson, F., "Monitoring tire-road friction using the wheel slip" 18 (18): 42-49, 1998

      16 Choi, M., "Model predictive control for vehicle yaw stability with practical concerns" 63 (63): 3539-3548, 2014

      17 Choi, M., "Linearized recursive least squares methods for real-time identification of tire – Road friction coefficient" 62 (62): 2906-2918, 2013

      18 Hahn, J.-O., "GPSbased real-time identification of tire-road friction coefficient" 10 (10): 331-343, 2002

      19 Munson, B. R., "Fundamentals of Fluid Mechanics" John Wiley & Sons 1990

      20 Wang, J., "Friction estimation on highway vehicles using longitudinal measurements" 126 (126): 265-275, 2004

      21 Han, K., "Estimation of vehicle clutch torque using combined sliding mode observers and unknown input observers" 1418-1423, 2014

      22 Kim, C., "Estimation of tire-road friction coefficient based on on-board 6-DoF acceleration measurement" 64 (64): 3368-3377, 2013

      23 Cho, W., "Estimation of tire forces for application to vehicle stability control" 59 (59): 638-649, 2010

      24 Muller, S., "Estimation of the maximum tire-road friction coefficient" 125 (125): 607-617, 2003

      25 Ito, M., "Estimation of road surface conditions using wheel speed behavior" 16 : 221-222, 1995

      26 Choi, M., "Estimation of four individual tire forces using limited sensor signals" 1 (1): 108-112, 2013

      27 Sierra, C., "Cornering stiffness estimation based on vehicle lateral dynamics" 44 : 24-38, 2006

      28 Y. F. LIAN, "CORNERING STIFFNESS AND SIDESLIP ANGLE ESTIMATION BASED ON SIMPLIFIED LATERAL DYNAMIC MODELS FOR FOUR-IN-WHEEL-MOTOR-DRIVEN ELECTRIC VEHICLES WITH LATERAL TIRE FORCE INFORMATION" 한국자동차공학회 16 (16): 669-683, 2015

      29 Choi, S. B., "Antilock brake system with a continuous wheel slip control to maximize the braking performance and the ride quality" 16 (16): 996-1003, 2008

      30 Rajamani, R., "Algorithms for real-time estimation of individual wheel tire-road friction coefficients" 17 (17): 1183-1195, 2012

      31 H. KIM, "ACTIVE YAW CONTROL FOR HANDLING PERFORMANCE IMPROVEMENT BY USING TRACTION FORCE" 한국자동차공학회 16 (16): 457-464, 2015

      32 Paleologu, C., "A robust variable forgetting factor recursive least-squares algorithm for system identification" 15 : 597-600, 2008

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2005-06-10 학술지명변경 한글명 : 한국자동차공학회 영문논문집 -> International Journal of Automotive Technology
      외국어명 : International Journal of Automotive Tech -> International Journal of Automotive Technology
      KCI등재후보
      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-01-01 평가 SCIE 등재 (신규평가) KCI등재후보
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      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.14 0.53 0.85
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.71 0.62 0.534 0.03
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